Trust In Social Media

Researchers and practitioners alike often overlook the vital relationship between trust and social media. ... Authors Joanna Paliszkiewicz and Alex Koohang charted a course to explore this abyss with a view to answering the question how does trust influence the use of social media. [i]Dr. John P. Girard, Peyton Anderson Endowed Chair in Information Technology, Middle Georgia State University[/i] The authors have done an excellent job in explaining how trust plays a significant role in social media. The book begins with a thorough overview of social media to its applications in learning, business, and an analysis of social media and trust. The second part of the book uses data from four different countries to answer multiple valid and vital research questions dealing with social media and trust, including an instrument that measures trust variables. This book presents some meaningful work on how the integration of social media and trust can best be developed. The authors apply their backgrounds in information technology, knowledge management, trust, and business to generate some provocative and instructive guidance to the readers on how to best leverage knowledge internally and externally to meet the organizational strategic goals. [i]Dr. Jay Liebowitz, Distinguished Chair of Applied Business and Finance, Harrisburg University of Science and Technology

Knowledge and expertise, especially of the kind that can shape public opinion, have been traditionally the domain of individuals holding degrees awarded by higher learning institutions or occupying formal positions in notable organizations. Expertise is validated by reputations established in an institutionalized marketplace of ideas with a limited number of “available seats” and a stringent process of selection and retention of names, ideas, topics and facts of interest. However, the social media revolution, which has enabled over two billion Internet users not only to consume, but also to produce information and knowledge, has created a secondary and very active informal marketplace of ideas and knowledge. Anchored by platforms like Wikipedia, YouTube, Facebook and Twitter, this informal marketplace has low barriers to entry and has become a gigantic and potentially questionable, knowledge resource for the public at large. Roles, Trust and Reputation in Social Media Knowledge Markets will discuss some of the emerging trends in defining, measuring and operationalizing reputation as a new and essential component of the knowledge that is generated and consumed online. The book will propose a future research agenda related to these issues. The ultimate goal of research agenda being to shape the next generation of theoretical and analytic strategies needed for understanding how knowledge markets are influenced by social interactions and reputations built around functional roles. The authors, including leading scholars and young innovators, will share with the readers some of the main lessons they have learned from their own work in these areas and will discuss the issues, topics and sub-areas that they find under-studied or that promise the greatest intellectual payoff in the future. The discussion will be placed in the context of social network analysis and “big data” research. Roles, Trust and Reputation in Social Media Knowledge Markets exposes issues that have not been satisfactorily dealt with in the current literature, as the research agenda in reputation and authorship is still emerging. In a broader sense, the volume aims to change the way in which knowledge generation in social media spaces is understood and utilized. The tools, theories and methodologies proposed by the contributors offer concrete avenues for developing the next generation of research strategies and applications that will help: tomorrow’s information consumers make smarter choices, developers to create new tools and researchers to launch new research programs.

A guide to how e-SMEs can successfully engage within social media communities to positively influence their brand trust and reputation. Consumer trust is more important than ever, as digital platforms and social media have redefined the relationship between businesses and consumers. In this new and disruptive commercial environment, consumers have developed an expectancy of direct, transparent communication through social media. The traditional means of building and maintaining trust have been rendered obsolete by the chaotic, competitive magnitude of multiple online platforms. With a unique combination of academic rigour and practical guidance, Digital Trust is the definitive guide to effectively using social media to build an authentic, trustful connection with your consumer base. Drawing on his extensive experience in marketing and communications, Barry Connolly demonstrates how to harness the commercial opportunities provided by social media, while also showing how you can avoid its most common mistakes and pitfalls. With original research and illuminating case studies, Digital Trust provides adaptable and accessible social media strategies that will strengthen and expand your consumer base.

This book examines the shifting role of media trust in a digital world, and critically analyzes how news and stories are created, distributed and consumed. Emphasis is placed on the current challenges and possible solutions to regain trust and restore credibility. The book reveals the role of trust in communication, in society and in media, and subsequently addresses media at the crossroads, as evinced by phenomena like gatekeepers, echo chambers and fake news. The following chapters explore truth and trust in journalism, the role of algorithms and robots in media, and the relation between social media and individual trust. The book then presents case studies highlighting how media creates trust in the contexts of: brands and businesses, politics and non-governmental organizations, science and education. In closing, it discusses the road ahead, with a focus on users, writers, platforms and communication in general, and on media competency, skills and education in particular.

Social media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or, in other words, exacerbates the information overload problem. On the other hand, the quality of user-generated content can vary dramatically from excellence to abuse or spam, resulting in a problem of information credibility. The study and understanding of trust can lead to an effective approach to addressing both information overload and credibility problems. Trust refers to a relationship between a trustor (the subject that trusts a target entity) and a trustee (the entity that is trusted). In the context of social media, trust provides evidence about with whom we can trust to share information and from whom we can accept information without additional verification. With trust, we make the mental shortcut by directly seeking information from trustees or trusted entities, which serves a two-fold purpose: without being overwhelmed by excessive information (i.e., mitigated information overload) and with credible information due to the trust placed on the information provider (i.e., increased information credibility). Therefore, trust is crucial in helping social media users collect relevant and reliable information, and trust in social media is a research topic of increasing importance and of practical significance. This book takes a computational perspective to offer an overview of characteristics and elements of trust and illuminate a wide range of computational tasks of trust. It introduces basic concepts, deliberates challenges and opportunities, reviews state-of-the-art algorithms, and elaborates effective evaluation methods in the trust study. In particular, we illustrate properties and representation models of trust, elucidate trust prediction with representative algorithms, and demonstrate real-world applications where trust is explicitly used. As a new dimension of the trust study, we discuss the concept of distrust and its roles in trust computing.

Social Networks and Trust discusses two possible explanations for the emergence of trust via social networks. If network members can sanction untrustworthiness of actors, these actors may refrain from acting in an untrustworthy manner. Moreover, if actors are informed regularly about trustworthy behavior of others, trust will grow among these actors. A unique combination of formal model building and empirical methodology is used to derive and test hypotheses about the effects of networks on trust. The models combine elements from game theory, which is mainly used in economics, and social network analysis, which is mainly used in sociology. The hypotheses are tested (1) by analyzing contracts in information technology transactions from a survey on small and medium-sized enterprises and (2) by studying judgments of subjects in a vignette experiment related to hypothetical transactions with a used-car dealer.

Trust is important – it influences new technologies adoption and learning, enhances using social media, new technologies, IoT, and blockchain, and it contributes to the practical implementations of cybersecurity policy in organizations. This edited research volume examines the main issues and challenges associated with privacy and trust on social media in a manner relevant to both practitioners and scholars. Readers will gain knowledge across disciplines on trust and related concepts, theoretical underpinnings of privacy issues and trust on social media, and empirically-validated trust-building practice on social media. Social Media, Privacy Issues and Trust-building aims to bring together the theory and practice of social media, privacy issues, and trust. It offers a look at the current state of trust and privacy, including a comprehensive overview of both research and practical applications. It shows the latest state of knowledge on the topic and will be of interest to researchers, students at an advanced level, and academics, in the fields of business ethics, entrepreneurship, management of technology and innovation, marketing, and information management. Practitioners can also use the book as a toolbox to improve their understanding and promote opportunities related to building social media trust while taking into consideration of privacy issues.

The article entitled "Selected Aspects of Evaluating Knowledge Management Quality in Contemporary Enterprises" broadens the understanding of knowledge management and estimates select aspects of knowledge management quality evaluations in modern enterprises from theoretical and practical perspectives. The seventh article aims to present the results of pilot studies on the four largest Information Communication Technology (ICT) companies' involvement in promoting the Sustainable Development Goals (SDGs) through social media. Studies examine which communication strategy is used by companies in social media. The primary purpose of the eighth article is to present the relationship between trust and knowledge sharing, taking into account the importance of this issue in the efficiency of doing business. The results showed that trust is vital in sharing knowledge and essential in achieving a high-performance efficiency level. The ninth article presents the impact of social media on consumer choices in tourism and tourist products' specificity. The study's main purpose was to indicate the most commonly used social media in selecting a tourist destination and implementing Generation Y's journey. The 10th article aims to identify the most critical purposes of using social media by responding to women's attitudes according to age and their respective countries' economic development. The research was done through an online survey in 2017–2018, followed by an analysis of eight countries' results. The article entitled "Integrated Question-Answering System for Natural Disaster Domains Based on Social Media Messages Posted at the Time of Disaster" presents the framework of a question-answering system that was developed using a Twitter dataset containing more than 9 million tweets compiled during the Osaka North Earthquake that occurred on 18 June 2018. The authors also study the structure of the questions posed and develop methods for classifying them into particular categories to find answers from the dataset using an ontology, word similarity, keyword frequency, and natural language processing. The book provides a theoretical and practical background related to trust, knowledge management, and communication in the era of social media. The editor believes that the collection of articles can be relevant to professionals, researchers, and students' needs. The authors try to diagnose the situation and show the new challenges and future directions in this area.